The goal of this thesis is to investigate the possibilities to deploy cloud-based machine learning models in Atlas Copco’s tightening tools. Areas to investigate will be requirements on the target platform and efficient ways to deploy and keep the tool updated.
Data Driven Services is currently designing a new cloud-based service for our Service Division. An essential part of the new service is analytics of production data. For various reasons it might be interesting to be able to deploy some of the cloud-based machine-learning models in the tool.
Your mission in this project will be to:
You need to have interest and knowledge in embedded SW development, Machine Learning and basic computer hardware.
Some key competences:
Our office is located in Sickla, Stockholm.
As this is a project position for studies and not an employment, it does not qualify for seeking a work permit. We can therefore only accept applications from students who are either attending Swedish universities (i.e. already have a student visa) or, if they are attending universities abroad, are EU-citizens.
Great ideas accelerate innovation. At Atlas Copco Industrial Technique we team up with our customers to turn industrial ideas into smart manufacturing assembly solutions and innovative industrial tools. Our passionate people, expertise and service bring sustainable value to industries everywhere. Atlas Copco is based in Stockholm, Sweden with customers in more than 180 countries and about 37 000 employees. Revenues of BSEK 95/ 9 BEUR in 2018. For more information: www.atlascopcogroup.com